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Update utils/render.py
Browse files- utils/render.py +38 -45
utils/render.py
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import os
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from moviepy import VideoFileClip, TextClip, CompositeVideoClip
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from .logger import logger
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def render_tiktok_video(video_path, highlight_frames, output_path):
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"""
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Renders TikTok-style captions with word-level highlighting and bounce effects.
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Uses Pango markup for efficient styling.
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"""
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try:
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clip = VideoFileClip(video_path)
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w, h = clip.size
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final_clips = [clip]
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#
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for frame in highlight_frames:
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words = frame["full_frame_text"]
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active_idx = frame["active_word_index"]
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duration = frame["end"] - frame["start"]
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if duration <= 0:
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continue
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#
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markup_parts.append(f"<span foreground='yellow'>{word}</span>")
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else:
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markup_parts.append(word)
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pango_markup = " ".join(markup_parts)
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# --- BOUNCE EFFECT LOGIC ---
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# We use a simple scale function: start at 1.15x and settle to 1.0x quickly
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def bounce_effect(t):
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if t < 0.08
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return 1.15
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return 1.0
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#
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txt_clip = (TextClip(
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text=pango_markup,
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font=font_to_use,
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font_size=80,
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color='white',
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stroke_color='black',
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stroke_width=2,
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method='pango',
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size=(w * 0.85, None),
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text_align='center'
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)
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.with_start(frame["start"])
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.with_duration(duration)
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.with_position(('center', h * 0.72))
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# Applying the "Pop" bounce effect
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.multiply_speed(1.0) # Reset internal clock
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.with_effects([lambda c: c.transform(lambda get_frame, t:
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c.get_frame(t), apply_to=[],
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# Note: In MoviePy v2, complex resizing is often best
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# handled via the Resize effect directly.
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)])
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)
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#
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from moviepy.video.fx import Resize
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txt_clip = Resize(lambda t: bounce_effect(t)).apply(txt_clip)
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final_clips.append(txt_clip)
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#
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logger.info(f"Exporting video to {output_path}...")
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final_video = CompositeVideoClip(final_clips)
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final_video.write_videofile(
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output_path,
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codec="libx264",
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audio_codec="aac",
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fps=clip.fps,
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preset="ultrafast",
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threads=4,
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logger=None
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)
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# Cleanup memory
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clip.close()
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final_video.close()
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return output_path
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except Exception as e:
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import os
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# Explicitly set the binary path
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os.environ["IMAGEMAGICK_BINARY"] = "/usr/bin/convert"
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from moviepy import VideoFileClip, TextClip, CompositeVideoClip
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from moviepy.video.fx import Resize
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from .logger import logger
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def render_tiktok_video(video_path, highlight_frames, output_path):
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try:
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clip = VideoFileClip(video_path)
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w, h = clip.size
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final_clips = [clip]
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# --- SMART FONT SELECTION ---
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# We try explicit paths first, then generic names
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potential_fonts = [
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"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf",
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"/usr/share/fonts/TTF/DejaVuSans-Bold.ttf",
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"DejaVu-Sans-Bold",
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"Arial",
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"sans-serif"
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]
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font_to_use = "sans-serif" # Absolute fallback
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for f in potential_fonts:
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# If it's a path, check if it exists
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if f.startswith("/") and os.path.exists(f):
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font_to_use = f
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break
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# Otherwise, we just hope the name works
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font_to_use = f
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for frame in highlight_frames:
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words = frame["full_frame_text"]
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active_idx = frame["active_word_index"]
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duration = frame["end"] - frame["start"]
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if duration <= 0: continue
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# Pango Markup
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markup_parts = [
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f"<span foreground='yellow'>{word}</span>" if i == active_idx else word
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for i, word in enumerate(words)
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]
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pango_markup = " ".join(markup_parts)
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def bounce_effect(t):
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return 1.15 if t < 0.08 else 1.0
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# Create TextClip
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txt_clip = (TextClip(
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text=pango_markup,
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font=font_to_use, # Use our discovered font
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font_size=80,
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color='white',
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stroke_color='black',
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stroke_width=2,
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method='pango',
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size=(w * 0.85, None),
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text_align='center'
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)
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.with_start(frame["start"])
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.with_duration(duration)
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.with_position(('center', h * 0.72)))
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# Apply Bounce
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txt_clip = Resize(lambda t: bounce_effect(t)).apply(txt_clip)
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final_clips.append(txt_clip)
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# Composite and Export
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final_video = CompositeVideoClip(final_clips)
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final_video.write_videofile(
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output_path,
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codec="libx264",
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audio_codec="aac",
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fps=clip.fps,
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preset="ultrafast",
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threads=4,
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logger=None
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)
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clip.close()
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final_video.close()
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return output_path
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except Exception as e:
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